• 한국공간구조학회논문집
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• 제18권3호
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• pp.67-74
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• 2018

Recently, measuring instruments for SHM of structures has been developed. In general, the wireless transmission of sensor signals, compared to its wired counterpart, is preferable due to the absence of triboelectric noise and elimination of the requirement of a cumbersome cable. However, in extreme environments, the sensor may be less sensitive to temperature changes and to the distance between the sensor and data logger. This may compromise on the performance of the sensor and instrumentation. Therefore, in this paper, free vibration experiments were conducted using wireless MEMS sensors at an actual site. Measurement was assessed in time and frequency domain by changing the temperature variation at($-8^{\circ}C$, $-12^{\circ}C$ and $-16^{\circ}C$) and the communication distance (20m, 40m, 60m, 80m).

• Journal of Information Processing Systems
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• 제6권2호
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• pp.147-162
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• 2010

In this paper, we present a fine-grained localization algorithm for wireless sensor networks using a mobile beacon node. The algorithm is based on distance measurement using RSSI. The beacon node is equipped with a GPS sender and RF (radio frequency) transmitter. Each stationary sensor node is equipped with a RF. The beacon node periodically broadcasts its location information, and stationary sensor nodes perceive their positions as beacon points. A sensor node's location is computed by measuring the distance to the beacon point using RSSI. Our proposed localization scheme is evaluated using OPNET 8.1 and compared with Ssu's and Yu's localization schemes. The results show that our localization scheme outperforms the other two schemes in terms of energy efficiency (overhead) and accuracy.

• 전기학회논문지
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• 제58권10호
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• pp.2047-2051
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• 2009

In this paper, we propose the localization method on WSN(Wireless Sensor Network) using fuzzy model and Kalman filter. The proposed method is as follows: First, we estimate the distance of RSSI(Receive Signal Strength Index) by using fuzzy model in order to minimize the distance error. Second, we use a triangulation measurement for estimating the localization. And then, we minimize the localization error using a Kalman filter. Finally, we show the effectiveness and feasibility of the proposed method through some experiments.

• 한국토양비료학회지
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• 제41권2호
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• pp.126-136
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• 2008

사경재배에서 이식후 70일 동안 생육된 연초 식물체를 이용하여 지상원격측정 센서들의 유효 측정거리와 측정 효율성을 평가하였다. 센서의 측정거리와 목표물의 캐노피 형태는 연초 엽의 제거방법을 상위엽부터 하위엽으로 차례로 제거하는 top-down 방법과 하위엽부터 상위엽으로 차례로 제거하는 bottom-up 방법으로 구분하여 조절하였다. 시험에 적용된 센서들은 수동형센서로서 $Crop\;Circle^{TM}$과 Spectroradiometer 그리고 능동형 센서는 $Crop\;Circle^{TM}(ACS210)$ red와 amber 및 $GreenSeeker^{TM}$ red와 green 등 4개 종류를 비교하였다. 검토된 모든 센서들의 반사율지표는 수동형과 능동형 센서의 종류에 관계없이 연초식물의 하위엽보다 상위엽의 캐노피 형태에 따라 크게 영향을 받았다. 비교 검토된 측정거리보다 큰 213 cm의 유효거리를 갖 는 $Crop\;Circle^{TM}(ACS210)$에 의한 반사율지표들은 센서의 유효거리가 제한되지 않은 수동형 센서의 경우와 동일하게 측정거리에 따른 차이를 보이지 않았다. 그러나유효거리 80-120cm로 제시된 $GreenSeeker^{TM}$능동형 센서는 유효측정거리의 한계로 규정된 120 cm보다 멀어질 경우 반사율지표는 크게 감소되고 측정오차를 보여 센서별로 규정된 유효 측정거리는 반드시 지켜야 하는 것으로 확인되었다. 연초 엽의 top-down 제거방법에 따른 건물중과 반사율지표의 상대비율로 상호관계를 평가한 결과 건물중 변화를 검출하는 능력은 수동형 센서보다 능동형 센서가 양호한 경향이었으며 센서 종류별로는 $Crop\;Circle^{TM}(ACS210)$ red >$Crop\;Circle^{TM}(ACS210)$ amber = $GreenSeeker^{TM}$ red > $Crop\;Circle^{TM}$ passive > $GreenSeeker^{TM}$ green > spectroradiometer의 순으로 측정효율이 감소되었다.

• 공학교육연구
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• 제13권2호
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• pp.7-11
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• 2010

As the development of the computer and communication technologies, the ubiquitous society can be realized to the world early in the future. Thus, the localization system in Wireless Personal Area Network (WPAN) is required for many users of ubiquitous society to provide the ubiquitous computing based applications in respective of anytime and anywhere. In this paper, we propose the distance measurement scheme that is based on the distance measurement using RSSI (Received Signal Strength Indicator) of sensor module considering of two distance conditions for the localization system using Zigbee in WPAN. Also, the localization errors of the proposed scheme are analyzed in the three scenarios that the mobile module tracks in the in $6m{\times}6m$ scaled experimentation area. In addition to this, the monitoring subsystem is developed using GUI (Graphical User Interface) in order to monitor the location of the moving objects accurately and user-friendly.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1781-1786
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• 2005

In sensor network systems, all the nodes are interconnected and the positional information of each sensor is essential. To measure the temperature, position detection and communication functions are required. Many sensor nodes are distributed to a measurement field, and these sensors have three main functions: they measure the distance to the other nodes, the data of which are used to determine the position of each node; they communicate with other nodes; and they measure the temperature of each node. A novel range measurement method using the difference between light and sound propagation speed is proposed. The experimental results show the temperature distribution as measured with the aid of the determined positions. The positions of every node were calculated with a PC program. Eight nodes were manufactured and their fundamental functions were tested. The results of the range measurement method, which takes relatively accurate measurements, contribute significantly to the accuracy of the position determination. Future studies will focus on 3-D position determination and on the architecture of appropriate sensors and actuators.

• 마이크로전자및패키징학회지
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• 제26권1호
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• pp.17-21
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• 2019

본 논문에서는 공작기계 등에서 필요로 하는 진직도 측정시스템을 가시광의 레이저와 CMOS 이미지센서를 사용하여 저가로 구현하였다. CMOS 이미지센서를 이용하여 광이미지를 검출하고 영상처리를 통해 진직도 변화를 계산하였다. 레이저와 이미지센서의 거리를 3m로 하여 실험한 진직도 측정에서 오차가 0.9%로 우수함을 확인하였으며, 제작된 진직도 시스템은 3D 프린터 등 다른 응용분야에서도 사용 할 수 있을 것으로 생각된다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 E
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• pp.1656-1658
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• 1998

This paper deals with a measurement system of a distance between lightning strokes and observatory station and spectrum analysis of electric fields radiated from lightning discharges. The distance measurement system, which consists of a loop type magnetic field sensor, a microphone and one chip microprocessor, is connected to a personal computer through RS232 port to acquire and process the data. This system is to use a difference of propagation velocity between an electromagnetic wave and a sonic wave produced by lightning discharge. Also, an electric field waveform and a frequency spectrum were investigated by an electric field measurement system with a hemisphere antenna and a spectrum analyzer with a biconical antenna and a log-periodic antenna, respectively. The results would be used as a basic reference to protect the power systems and electric circuits from lightning overvoltages.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2009년도 춘계학술대회 논문집
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• pp.7-8
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• 2009

Non-contact critical current measurement apparatus was developed using hall probe which measures the magnetic field distribution across the width of superconducting tape. The hall probe consists of 7 independent hall sensors which lie in a line 600 ${\mu}m$. The difference between maximum and minimum magnetic field in the magnetic filed distribution is a main parameter to determine the critical current. As preliminary research, we calculated the magnetic field intensity at the middle sensor, which is a minimum magnetic field and generated by the circular shielding current modeled by Bean model. We confirmed that there are some parameters that affect on the minimum magnetic field; the distance between superconducting layer and hall sensor, the width of superconducting tape, and the critical current distribution across the width of superconducting tape. Among these parameters, the distance between superconducting layer and hall sensor highly influences on the minimum magnetic field.

• Journal of Astronomy and Space Sciences
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• 제35권4호
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• pp.263-277
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• 2018

This paper presents a vision-based relative pose estimation algorithm and its validation through both numerical and hardware experiments. The algorithm and the hardware system were simultaneously designed considering actual experimental conditions. Two estimation techniques were utilized to estimate relative pose; one was a nonlinear least square method for initial estimation, and the other was an extended Kalman Filter for subsequent on-line estimation. A measurement model of the vision sensor and equations of motion including nonlinear perturbations were utilized in the estimation process. Numerical simulations were performed and analyzed for both the autonomous docking and formation flying scenarios. A configuration of LED-based beacons was designed to avoid measurement singularity, and its structural information was implemented in the estimation algorithm. The proposed algorithm was verified again in the experimental environment by using the Autonomous Spacecraft Test Environment for Rendezvous In proXimity (ASTERIX) facility. Additionally, a laser distance meter was added to the estimation algorithm to improve the relative position estimation accuracy. Throughout this study, the performance required for autonomous docking could be presented by confirming the change in estimation accuracy with respect to the level of measurement error. In addition, hardware experiments confirmed the effectiveness of the suggested algorithm and its applicability to actual tasks in the real world.